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Documentation of statistics: Survey on Living Conditions (SILC)

Contact info, Labour Market, Social Statistics , Martin Faris Sawaed Nielsen , +45 23 69 90 67 , MFS@dst.dk , Get documentation of statistics as pdf, Survey on Living Conditions (SILC) 2024 , Previous versions, Survey on Living Conditions (SILC) 2023, Survey on Living Conditions (SILC) 2022, Survey on Living Conditions 2021, Survey on Living Conditions 2020, Survey on Living Conditions 2019, Welfare Indicators 2018, Welfare Indicators 2017, Welfare Indicators 2016, Welfare Indicators 2015, Welfare Indicators 2014, Welfare Indicators 2013, Documents associated with the documentation, SILC 2024 spørgeskema (pdf) (in Danish only), In Denmark EU-SILC (Statistics on income and living conditions) is a combination of survey and register data. The purpose of EU-SILC is to provide a statistics on income, living conditions and risk of social exclusion. Statistics Denmark only disseminate a small part of EU-SILC. Dissemination is by Eurostat primarily., The survey is conducted in all EU member states once a year following the same guidelines. In Denmark the survey has been conducted since 2004., Statistical presentation, SILC consists of data on the composition of the households and their living conditions including questions on how easy it is for the household to make ends meet and the financial burden of the housing costs. Further information is collected on health and position on the labour market etc. These interview questions are then supplemented by a lot of register based information, mainly on incomes, demographics, housing and education. , Read more about statistical presentation, Statistical processing, The subjective data from the interviews are combined with the register based data using the Central personal Register. To adjust for non-response bias, weights are computed and assigned to respondents. This ensures that the survey population match the Danish population on demographics and income levels. , Read more about statistical processing, Relevance, SILC is primarily used by Eurostat and the European Commission. Users of the statistics published in Denmark are mainly the press., Read more about relevance, Accuracy and reliability, Data are based on a survey; hence there is some statistical uncertainty; especially on subgroups. In addition to sampling errors there might be a slight risk of bias. A calibration of the survey is carried out in order to limit any bias and make sure that the sample reflects the population on factors such as demographics and incomes. For the published variables the effect and risk of bias is assumed to be negligible due to the strong correlation with incomes., Read more about accuracy and reliability, Timeliness and punctuality, The data are usually published in December or January following the interview period. There is a risk of delays, due to the many different data sources used to compile SILC - which may not be available in due time., Read more about timeliness and punctuality, Comparability, The published indicators are assumed comparable over time and between countries participating in the EU-SILC., Read more about comparability, Accessibility and clarity, Some main figures are published in Nyt fra Danmarks Statistik and in the statbank. Eurostat publish many figures in the , Eurostat database, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/survey-on-living-conditions--silc-

Documentation of statistics

Documentation of statistics: Vocational Education

Contact info, Population and Education, Social Statistics , Asger Bromose Langgaard , +45 21 59 96 46 , alg@dst.dk , Get documentation of statistics as pdf, Vocational Education 2024 , Previous versions, Vocational Education 2023, Vocational Education 2022, Vocational Education 2021, Vocational Education 2020, Vocational Education 2019, Vocational Education 2018, Vocational Education 2015, These statistics cover vocational education activity in Denmark. A vocational education is a youth education which gives the student a vocational qualification. Vocational education statistics is in its current form comparable since 2005 and is part of the overall Student Register, which contains information on all students and students in ordinary education in Denmark., Statistical presentation, These statistics contains yearly estimates of on the activity on vocational educations in Denmark. This includes the number of entrants, the number of completed and the number of active students. The statistics are divided by education and enrolment type, and the students' age, sex, ancestry and national origin., Read more about statistical presentation, Statistical processing, The data for the statistics is collected yearly in October from the administrative systems of the educational institutions. Data is adjusted into the format used in the Student Register. In cooperation with the National Agency for It and Learning, Statistics Denmark has set guidelines for this conversion, since the conversion depends on the type of student. Data is validated at both macro and micro level, where fluctuations in the number of students across time are controlled for errors and irregularities at the individual level, for example overlap between educations, are corrected., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The basic data for the statistics are used as background data for most of the personal statistics at Statistics Denmark, and it is the basis for the tables in StatBank Denmark about education. , Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the pupils and also for the payment of different economic grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. The vocational education field is a field with many different ways to get an education, which creates more possibilities for incorrect registrations e.g. wrong registrations of the students on the institutions or errors in the conversion to the correct format., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 4 months after the reference time which is 1 October. , Read more about timeliness and punctuality, Comparability, The current time series of these statistics goes back to 2005, but statistics on vocational education have been made further back than this. Vocational education reforms can be a challenge when comparing figures over time. Furthermore, it may be difficult to compare the figures internationally, as vocational training is defined differently from country to country., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Upper secondary education, . For further information, see the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/vocational-education

Documentation of statistics

Documentation of statistics: Upper-Secondary Education

Contact info, Population and Education, Social Statistics , Asger Bromose Langgaard , +45 21 59 96 46 , ALG@dst.dk , Get documentation of statistics as pdf, Upper-Secondary Education 2024 , Previous versions, Upper-Secondary Education 2023, Upper-Secondary Education 2022, Upper-Secondary Education 2021, Upper-Secondary Education 2020, Upper-Secondary Education 2019, Upper-Secondary Education 2018, These statistics cover the activity in upper secondary education in Denmark. Upper secondary education is defined from Statistics Denmark's education classification DISCED-15 as all education classified on level 20 or 35. Upper secondary educations are typically 2-3 years in duration. Upper secondary education statistics are in their current form comparable since 2005 and are part of the overall Student Register, which contains information about all students in ordinary education in Denmark., Statistical presentation, These statistics contain figures about the enrollment and completion in upper-secondary education in Denmark. This includes the number of entrants, the number of completed and the number of active students. The statistics are divided by education and the students' age, sex, ancestry and national origin. , Read more about statistical presentation, Statistical processing, The data for these statistics are received yearly in November/December from The Ministry of Children and Education. This means that the data received by Statistics Denmark have already been corrected for errors. In addition, a thorough error searching and validation of data are done by Statistics Denmark, where data is controlled for fluctuations across time and irregularities at the individual level. The Ministry of Children and Education are involved in cases of substantial corrections., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The data of the statistics are used as background data for most of the personal statistics at Statistics Denmark, and are the basis for several tables in StatBank Denmark about education., Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the students as well as for the payment of various financial grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. The Ministry of Children and Education conduct error detection of data and the quality of the received data is high. Errors do occur but they are in most cases corrected the following year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 4 months after the reference time, which is 1 October. The statistics are usually published without delay in accordance with the scheduled date., Read more about timeliness and punctuality, Comparability, The current version of these statistics go back to 2005. However, statistics pertaining to upper secondary education in Denmark have been produced prior to 2005. The statistics are internationally comparable as upper secondary education is defined in similar ways internationally., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Upper-secondary education, . For further information, see the homepage of the , statistics, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/upper-secondary-education

Documentation of statistics

Documentation of statistics: Primary and lower secondary education

Contact info, Population and Education, Social Statistics , Annemarie Schriver , +45 40 18 43 54 , rie@dst.dk , Get documentation of statistics as pdf, Primary and lower secondary education 2024 , Previous versions, Primary and lower secondary education 2023, Primary and lower secondary education 2022, Primary and lower secondary education 2021, Primary and lower secondary education 2019, Primary and lower secondary education 2018, The purpose of the statistics on the Danish primary and lower secondary education is to present the number of pupils and the scale of pupils per class in the Danish school system. The statistics describe the intake and graduation from the basic school system, which in Denmark are the primary and lower secondary schools. In the present form, the statistics are comparable from 2007, from 2009 for number of pupils per class and from 2012 for special needs education. , Statistical presentation, The primary and lower secondary education statistics provide annual data on enrollment and completion from grade 0 to 10/11, including special needs participation and average class size. The data are broken down by grade, school type, age, gender, heritage, and geography. Based on the Student Register, a longitudinal database, the statistics enable tracking of each student’s educational path throughout their basic schooling., Read more about statistical presentation, Statistical processing, The Danish primary and lower secondary education dataset is based on annual reports from school administrative systems collected for the Student Register. Most data is reported system-to-system, while some institutions use web questionnaires. After collection, Statistics Denmark performs thorough data validation. Special needs education data is collected annually; public schools report via administrative systems, and private schools report through the Ministry of Education., Read more about statistical processing, Relevance, The statistics serve public administrators, researchers, analysts, journalists, and citizens for forecasting, analysis, and planning. The underlying data supports most personal statistics at Statistics Denmark and forms the basis for education tables in the Statbank. The statistics document student intake, departure, and transitions between classes or programs within the Danish education system, underpinning many education-related tables in the Statistics Denmark databank., Read more about relevance, Accuracy and reliability, The reliability of the educational information is considered to be high. The information in the statistics is obtained from the institutions' administrative registers and goes through comprehensive error check procedures in connection with the annual data collections. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 3 to 4 months after the end of the reference time. The statistics are usually published without delay in accordance with the scheduled date. , Read more about timeliness and punctuality, Comparability, Statistics Denmark has collected data on pupils in Danish primary and lower secondary schools since the 19th century. Comparable data in its current form are available from 2007, when grades 0 to 10/11 began to be compiled. Pupils per class have been recorded since 2009, and special needs education data since 2011. The statistics follow common European guidelines and are comparable with OECD data from other countries., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Primary and lower secondary education, and in a Danish press release. For further information go to the , subject page, for these statistics., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/primary-and-lower-secondary-education

Documentation of statistics

Documentation of statistics: From Primary and Lower Secondary and General Upper Secondary School to Further Education

Contact info, Population and Education , Lene Riberholdt , +45 23 60 62 18 , LRI@dst.dk , Get documentation of statistics as pdf, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2023 , Previous versions, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2021, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2020, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2017, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2014, The analysis is a cohort analysis of students with lower or upper secondary general school leaving certificate and their further education in the Danish school system. (Adult education is not included). The present statistic which is based on CPR numbers, was first collected in 1973. Before 1973 the Ministry of Education collected the information at class level. The first cohort analysis was published in March 1978 with information regarding pupils who graduated in 1973/1974., Statistical presentation, The cohort analysis is an analysis of the education of a cohort of students with lower or upper secondary general school leaving certificates after graduation. A cohort is defined as pupils leaving lower secondary or traditional general secondary education. It is established how many students are in education, have completed an education, have interrupted an education or have no records about further education, Read more about statistical presentation, Statistical processing, The information in the Integrated Register of Students are based on annual reports from the Danish educational institutions. The majority of data is collected by system-to-system reporting. However, there are a few educational institutions which report through web questionnaires. In cooperation with system suppliers. Statistics Denmark has established requirements for reporting formats, validation and error searches. In addition, there is an extensive validation of data in Statistics Denmark., Read more about statistical processing, Relevance, The register gives a foundation for analyzing the transitions from lower secondary and upper secondary general education to further education in the ordinary education system., Read more about relevance, Accuracy and reliability, The reliability of the educational information is judged to be good. The information in the student register, comes from the institutions' administrative register and goes through an comprehensive error check in connection with the annual data collections., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published half a year after the end of the reference time. The statistics are usually published without delay in accordance with the scheduled date. , Read more about timeliness and punctuality, Comparability, Statistics Denmark have published Further education statistics since 2001. The comparability over time is good., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under , Educational transitions , . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/from-primary-and-lower-secondary-and-general-upper-secondary-school-to-further-education

Documentation of statistics

Documentation of statistics: Participation at folk high schools

Contact info, Science, Technology and Culture, Business Statistics , Søren Østerballe , +45 23 42 32 97 , SRB@dst.dk , Get documentation of statistics as pdf, Participation at folk high schools 2024 , Previous versions, Participation at folk high schools 2023, Participation at folk high schools 2022, Participation at folk high schools 2021, Participation at folk high schools 2020, Participation at folk high schools 2019, The statistics describes the participants at the Danish folk high schools according to age, gender, ancestry, education, income, area of residence by course length and school type. The statistics describes the students, which can be found in the statistics about supplementary courses - Folk High Schools, which gives a comprehensive description of the students participation in courses in folk high schools and free vocational schools., Statistical presentation, The statistics describes the background of the participants at Danish folk high schools. In addition the background of the participants is described in terms of age, gender, ancestry, education and income in actual number of participants as well as in full-time student equivalents. Course lengths are short, medium and long. The statistic results are presented in school years and calendar years. , Read more about statistical presentation, Statistical processing, The statistics are based on the coordination of several of Statistics Denmark's statistic registers. The participants are identified from the register of adult education and continuing training, which annually collects data from the folk high schools' administrative systems and manual reporting. From this register information about the participants course length and about the type of school. The population register provides information of age, gender, residence, ancestry and family relations. The Register of highest education provides information about education, and from the the Income Register data on income is drawn. , Read more about statistical processing, Relevance, The folk high schools are often debated in the media, but there is limited knowledge of the participants' background. The statistics shed light on the folk high school area with a focus on the participants' background in addition to the existing statistics about folk high schools, which focus on the participants' course activity. The statistics are relevant for supporting educational and cultural policy debates and can be used by individuals, journalists, authorities and interest groups, as well as the providers of the basic statistical data., Read more about relevance, Accuracy and reliability, The number of participants are derived from a total reports of the folk high schools. The primary sources of uncertainty are errors in the reports of the schools and the existence of any schools that Statistics Denmark is not aware of. When combining the student register with the other background registers some register information may be incomplete. These participants will be categorized as uninformed. As the register coverage for foreign participants is generally poorer, the proportion of uninformed will be higher for the medium and long courses. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is issued once a year, and publication is approximately 10 months after the end of collection period. In general, the statistic is published in accordance with the announced time. , Read more about timeliness and punctuality, Comparability, The statistics is comparable with Statistics Denmark's statistics on activity at folk high schools. There are also statistics on the activity at participants in Sweden and Norway. There are statistics covering activities at folk high schools back to 1901, but this statistic on the background of participants are comparable from 2016 onwards., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank Denmark under the subject , Folk high school, . For further information, go to the , subject page, ., Researchers can get access to the detailed data of the basic registers according to special agreement with Statistics Denmark. Special analyses using anonymized data from the basic registers used for this statistic can be supplied by the DST Consulting. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/participation-at-folk-high-schools

Documentation of statistics

Documentation of statistics: Continuing Vocational Training Survey (CVTS)

Contact info, Population and Education, Social Statistics , Nare Hakhverdyan , NHD , NHD@dst.dk , Get documentation of statistics as pdf, Continuing Vocational Training Survey (CVTS) 2020 , Previous versions, Continuing Vocational Training Survey (CVTS) 2016, Continuing Vocational Training Survey (CVTS), The purpose of the CVTS survey has been to create a comparable European statistics on Continual Vocational Training and education of the employees in enterprises. The statistic constitutes a part of the strategic goal of long life learning., which is a central feature in EU's strategy to increase the competitiveness of European enterprises hen hence the economic growth., Statistical presentation, The data collected in the CVTS surveys (CVTS = Continual Vocational Training Survey) describes the enterprises activities in relation to continuing vocational training in the enterprises. The variables are specified in The European Parliament and Council Regulation No 1552/2005. Primarily it concerns the various types of training artivities, time usage and costs involved in the activities as well as planning aspects. In relation to CVTS2006 some variables are not included in CVTS2011. A few variables have been removed in CVTS2016 and a few has been simplified when compared to CVTS2011. Special COVID-19 questions were included in CVTS2020., Read more about statistical presentation, Statistical processing, Various procedures were conducted for data controlling and high quality. To assure consistency, answers which were not logic were checked and corrected by follow up by contact to the responding enterprises if necessary. Furthermore, an imputation on core variables was applied, the variables specified by Eurostat. A weighting procedure on 60 cells was applied (20 NACE categories and 3 size groups) in such a way that the sample was representative for the universe.., Read more about statistical processing, Relevance, The survey results are mainly of interest to persons engaged in the educational sector, educational institutions, ministries and business organizations., Read more about relevance, Accuracy and reliability, CVTS2006: Postal questionnaires supplemented with data from administrative registers. About 60 per cent of the returned questionnaires ended up being scanned and the rest were registered manually. The scanning of the questionnaire gave problems with the data quality for some questions, in particular concerning the questions on amounts of money, number of persons and hours. CVTS2011, CVTS2016 and CVTS2020: Web interviews in combination with telephone interviews supplemented with data from administrative registers. The survey questions about amounts of money, number of persons and hours etc. in particular gave problems with the data quality as these questions needed several persons to be involved., Read more about accuracy and reliability, Timeliness and punctuality, CVTS3: Published: 4th quarter 2007., CVTS4: Reference period: 2010. Published: 21st of Feburary 2014. , CVTS5: Reference period: 2015. Published: 21st of February 2019., CVTS6: Reference period: 2020. Published: 28th of June 2022., The period from the end of the reference period for CVTS until publication is mainly due to efforts carried out to increase response rate as well as data quality., Read more about timeliness and punctuality, Comparability, Eurostat publish data for the EU-member states for CVTS. The results are comparable across the member states as the same guidelines have been applied. The guidelines was specified by EU., Read more about comparability, Accessibility and clarity, News from Statistics Denmark and the Statbank., The CVTS results from all participating countries will be published by Eurostat on New Cronos statistical data base., Some data from CVTS2006, CVTS2011, CVTS2016 and CVTS2020 are available from the statbank: , CVTS - Statistikbanken, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/continuing-vocational-training-survey--cvts-

Documentation of statistics

Documentation of statistics: Research and development in the public sector

Contact info, Science, Technology and Culture, Business Statistics , Mille Wilhjelm Poulsen , +45 40 18 78 40 , MWP@dst.dk , Get documentation of statistics as pdf, Research and development in the public sector 2023 , Previous versions, Research and development in the public sector 2022, Research and development in the public sector 2021, Research and development in the public sector 2020, Research and development in the public sector 2019, Research and development in the public sector 2018, Research and development in the public sector 2017, Research and development in the public sector 2016, Research and development in the public sector 2015, Statistics on Research and Development – Public sector 2014, Statistics on Research and Development – Public Sector 2013, Statistics on Research and Development – Public sector 2012, The purpose of the R&D statistics is, among other things, to analyse the scope of research and experimental development undertaken within the public sector. The results forms part of the measurement of R&D in relation to GDP. The survey is conducted in accordance with OECDs guidelines for R&D described in the Frascati Manual., Statistical presentation, The statistics on Research and Development (R&D) cover a large number of indicators describing the resources used with the focus being expenditures and personel (in numbers and in full-time equivalents). The information is distributed by main sectors, types of expenditure, fields of science and type of research., Read more about statistical presentation, Statistical processing, The Statistics are compiled annually on the basis of questionnaires. The data collected are validated very carefully focusing on a number of prioritized variables, notably the R&D expenses. This is performed at macro- as well as micro level., Read more about statistical processing, Relevance, There is a general political objective of increasing the share of GDP, which is applied for research and development, and in the light of this objective, there is great interest in compiling statistics on research and development. The main users are Ministries, public authorities, business organisations, researchers, private business enterprises and the media. In addition, the European Commission (The statistical office Eurostat) and the OECD are important users. Data are available for purposes of research., Read more about relevance, Accuracy and reliability, The reliability is high. The statistics is based on a census of 700 public institutions and the response rate is 100 percent. The collected data is going through an intense validation process and except for a single question the imputation rate for missing values is relatively moderate. Imputation could e.g. be the use of information reported by other institutions to replace missing information., Read more about accuracy and reliability, Timeliness and punctuality, National release is done 16 months after the end of the reference period. It is the aim to publish preliminary figures 12 months after the end of the reference period. Final figures are published 12 months after the preliminary figures., Transmission of data to Eurostat follows rules laid down in the relevant legal act., The release of the statistics is punctual., Read more about timeliness and punctuality, Comparability, The statistics are comparable from the years 1997 to 2006 and from 2007 onwards., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Research and development, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/research-and-development-in-the-public-sector

Documentation of statistics

Documentation of statistics: Activities in small enterprises

Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Activities in small enterprises 2024 , Previous versions, Activities in micro enterprises 2022, The purpose of the statistics is to shed light on the activities e.g. the use of ICT in microenterprises, with 5-9 employees. The study focuses on topics with high topicality and attention among users, such as security measures and web sales. The content is replaced every year. The survey is developed in collaboration with users and has been carried out for the first time for 2021., Statistical presentation, The statistics are an annual survey of the activities of small businesses. The subjects that are covered are typically some that users are currently asking for more knowledge about. This could be, for example, sustainability, innovation, social responsibility and digitalisation, including the use of digital business solutions, e.g. the spread of remote meetings, robotics and artificial intelligence. It can also be ICT security measures in the company and the use of various e-sales channels., Read more about statistical presentation, Statistical processing, The statistics are a sample-based questionnaire survey. Data is collected via digital reporting. Data validation takes place in the form of consistency checks in the digital form as well as by subsequent troubleshooting and possible re-contact with the reporting parties. The published results are calculated for the population. There is stratification by industry and size., Read more about statistical processing, Relevance, Statistics Denmark is experiencing an ever-increasing demand for more knowledge about small businesses, particularly in areas such as sustainability, innovation activities and digitalisation. A greater number of variables are replaced annually as a result of new technology and the development of user needs. The ongoing development of the content of the statistics takes place in close dialogue with users., Read more about relevance, Accuracy and reliability, The survey is sample-based, and therefore associated with an uncertainty in the form of random variation in relation to industry and company size. The sampling uncertainty is limited. The survey is compulsory to answer and the response rate is therefore above 90. The enumeration of the responses from the sample to the total population partially corrects for missing responses. Some questions are of a technical nature and therefore difficult to understand in companies that do not work with technology., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 8 months after the end of the reference period. It is usually published without delay in relation to the announced time., Read more about timeliness and punctuality, Comparability, Some of the results can be compared with results from the survey 'ICT use in enterprises', which covers companies with at least 10 employees. A large number of questions in the survey are replaced annually, so there is no coherent time series for all subjects., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, and the main results are available in Danish on Statistics Denmark's homepage at the address , Statistics Denmark's homepage, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/activities-in-small-enterprises

Documentation of statistics

Documentation of statistics: Innovation in the private sector

Contact info, Science, Technology and Culture , Anne-Sofie Dam Bjørkman , +45 20 37 54 60 , ASD@dst.dk , Get documentation of statistics as pdf, Innovation in the private sector 2022 , Previous versions, Innovation in the private sector 2020, Innovation in the private sector 2018, Innovation in the private sector 2016, Innovation in the private sector 2015, Innovation Statistics 2014, Innovation Statistics 2013, Innovation Statistics 2012, The purpose of the innovation survey is to examine the scope, the nature and the effect of innovation in the business sector including the innovation activities. Data will be collected enabling comparisons over time. The survey is conducted in accordance with the EU and OECD guidelines for innovation statistics described in the Oslo Manual. Danish data are thereby comparable with data from other EU countries. From the reference year 2007 statistics are compiled on a yearly basis., Statistical presentation, Innovation in the enterprise sector is a yearly statistics on resources used for R&D and share of innovative enterprises. The statistics is distributed by sector, size class and region., Read more about statistical presentation, Statistical processing, Data for this statistics are collected via questionnaires for app. 3,600 respondents among a population of app. 20,000 enterprises. The material is validated already during the response from the enterprise, and afterwards followed by computer-aided validation and manual validation. Imputations and calibrated weighting is also a part of the treatment of data., Read more about statistical processing, Relevance, The statistics is used by ministries, business organizations, researchers, the media, private enterprises and students. It is used for research, publications from ministries and for international comparison. Indicators based on the statistics is part of the documentation of the knowledge society. Indicators based on the statistics are included in the EU Innovation Union Scoreboard, which is part of the Europe2020 strategy. , Read more about relevance, Accuracy and reliability, Errors in the data reports and problems for companies with determining exact amounts that are used on innovation, and when it is innovation and innovation activities., Coefficients of variation (CV) for central indicators in 2016 (preliminary data) are under processing., For 2016: - Share of enterprises with innovation: 2.0 - Innovation expenditure, other innovation expenditure: 2.5, Read more about accuracy and reliability, Timeliness and punctuality, Normally the statistics is published less than a year after the end of the reference period. The statistics for 2022 is published 15 months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistics is comparable from 2007 and onwards. Data is delivered to Eurostat, the statistical office of the EU, and to OECD, who are both publishing aggregated data in their databases., The statistics is compiled according to an EU-regulation, describing in details which variables to deliver and for which size classes, types of activities etc. The Danish statistics is therefore comparable with the similar statistics of other EU-countries, provided that they follow the regulation., The statistics is to a certain degree comparable with the statistics on innovation in the public sector., Read more about comparability, Accessibility and clarity, The statistics is published yearly in Nyt fra Danmarks Statistik (News from Statistics Denmark). In Statistikbanken data on innovation in enterprises are published in the tables INN21, INN22, INN23, INN24 and INN25. Furthermore data is included in the publication "Innovation og forskning" on the theme page of the statistics., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/innovation-in-the-private-sector

Documentation of statistics